This paper develops a conceptual framework examining how AI-driven HR practices influence talent acquisition and retention in Delhi NCR tourism sector, which confronts turnover exceeding 40% and acute seasonal hiring pressures. Literature synthesis integrates AI-HRM and tourism scholarship to propose relationships between three AI practice domains (intelligent sourcing/screening, predictive analytics, personalized learning) and two talent outcomes (acquisition quality, employee retention), moderated by governance quality, firm resources, and seasonal volatility. Eight propositions appear: AI-powered screening improves multilingual hire quality in customer-facing roles (P1). Better hires show stronger retention, creating mediation pathways (P2). Predictive turnover tools prove most effective during off-peak windows when interventions face fewer service pressures (P3). Learning platforms succeed when HR teams understand the technology (P4). Strong ethical governance amplifies benefits across outcomes (P5). Larger firms gain more than resource-constrained SMEs (P6). Extreme seasonality disrupts retention gains unless forecasting capabilities compensate (P7). Ethical transparency in recruitment boosts candidate beliefs, enhancing later retention (P8). Conceptual framework requires empirical validation through multi-respondent surveys, structural equation modeling, and longitudinal designs as specified. Framework extends AI-HRM theory to service-intensive emerging market contexts marked by workforce volatility and cultural diversity. Tourism managers should prioritize recruitment AI where efficiency gains appear fastest, invest in staff training, show bias audits before deployment, and preserve human judgment for relationship-building. Policymakers should subsidize SME adoption and create industry- specific ethical standards. Ethical AI deployment proves essential in Delhi NCR diverse labor markets where perceived bias spreads rapidly through professional networks. First India-focused tourism AI-HRM framework embedding seasonality, multilingual dynamics, and ethical governance as central theoretical constructs rather than peripheral considerations.